Grégoire Lafay
Data Engineering Team Lead
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolGrégoire Lafay is a Data Engineering Team Lead with a Ph.D. in computer science and a decade of experience bridging research, product, and applied data science. He has led cross-functional teams to build ML-driven digital biomarkers and audio-based health diagnostics at Ad Scientiam, and co-founded an AI-powered sound app where he managed product, growth, and content. His work blends deep expertise in audio signal processing, auditory perception, and modern ML techniques—ranging from CNN-based cough detection and semi-supervised learning to facial landmark and VAD pipelines for mobile sensing. Now leading data engineering at Filigran, he focuses on operationalizing models and shaping technical roadmaps for scalable data products. Not only a researcher and product thinker, he brings hands-on engineering and user-informed product strategy to medical and creative audio domains. Based in Paris, he combines academic rigor with startup pragmatism to deliver impactful, data-driven solutions.
10 years of coding experience
8 years of employment as a software developer
Data Science , Programmation informatique, Data Science , Programmation informatique at Le WagonPhD, Computer science (Computer audition), PhD, Computer science (Computer audition) at Centrale NantesBachelor's degree, music and musicology, Bachelor's degree, music and musicology at Université Paris-SorbonneMaster's degree, acoustics, audio signal processing, computer science applied to music, Master's degree, acoustics, audio signal processing, computer science applied to music at Pierre and Marie Curie University
French, English
Github Skills (4)
cybersecurity10
cyber-threat-intelligence10
threat-intelligence10
security10
Programming languages (3)
Github contributions (5)
gregoirelafay/theseLafay2016
Aug 2016 - Mar 2017
Contributions:47 commits, 42 pushes, 1 branch in 7 months
gregoirelafay/neural-art
Aug 2021 - Oct 2021
Contributions:144 commits, 88 pushes, 1 branch in 1 month
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